IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i8p1227-d879402.html
   My bibliography  Save this article

Nature-Based Solutions in “Forest–Wetland” Spatial Planning Strategies to Promote Sustainable City Development in Tianjin, China

Author

Listed:
  • Yangli Li

    (School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621010, China
    School of Architecture, Tianjin University, Tianjin 300072, China)

  • Gaoyuan Wang

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Tian Chen

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Rui Zhang

    (School of Architecture, Tianjin University, Tianjin 300072, China
    College of Design and Engineering, National University of Singapore, Singapore 117575, Singapore)

  • Long Zhou

    (School of Architecture, Tianjin University, Tianjin 300072, China
    Faculty of Innovation and Design, City University of Macau, Macau 999078, China)

  • Li Yan

    (School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621010, China)

Abstract

Nature-based solutions are some of the most effective strategies to promote sustainable city development; however, existing research on NbS is mostly comprised of single variable studies rather than multiple variables. The purpose of this study was to explore the possibility of extending the NbS of a single variable to two variables for the better development of sustainable cities. Both forestation and wetland restoration are regarded as NbS for sustainable city development. The research approach of “forest–wetland” NbS was proposed and centers on the process and core issues of traditional NbS. Taking Tianjin as an example, the spatial patterns of forests and wetlands, correlation between the spatial distribution of forests and wetlands, and spatial correlation between the areas of forest growth and wetland growth within a certain distance in different years were studied using a spatial distribution pattern analysis, geographic concentration analysis, kernel density estimation and spatial autocorrelation analysis. Based on the core issues of NbS and the above spatial analysis, a “forest–wetland” spatial planning strategy was formulated. The main conclusions are as follows: forest and wetland were negatively correlated in the whole area of Tianjin, forest resources w mainly located in north, while wetland resources were mainly located in south. Compared with forests, the spatial distribution of wetlands in Tianjin was more balanced. There exist synergy and trade-offs between forest and wetland area under certain circumstances. Growth of forests was positively correlated with the growth of wetlands, within a distance of 0–400 m from 2000 to 2010, and within a distance of 0–600 m from 2010 to 2020. An increase in forest area will lead to an increase in evaporation, which in turn will hinder the growth of wetlands in Tianjin. Forest–wetland ecological network could promote synergistic between forest and wetland, and grey infrastructure to reduce potential trade-off between forest and wetland.

Suggested Citation

  • Yangli Li & Gaoyuan Wang & Tian Chen & Rui Zhang & Long Zhou & Li Yan, 2022. "Nature-Based Solutions in “Forest–Wetland” Spatial Planning Strategies to Promote Sustainable City Development in Tianjin, China," Land, MDPI, vol. 11(8), pages 1-22, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1227-:d:879402
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/8/1227/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/8/1227/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Raymond, Christopher M. & Frantzeskaki, Niki & Kabisch, Nadja & Berry, Pam & Breil, Margaretha & Nita, Mihai Razvan & Geneletti, Davide & Calfapietra, Carlo, 2017. "A framework for assessing and implementing the co-benefits of nature-based solutions in urban areas," Environmental Science & Policy, Elsevier, vol. 77(C), pages 15-24.
    2. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    3. Fortino Acosta & Stephen Haroon, 2021. "Memorial Parking Trees: Resilient Modular Design with Nature-Based Solutions in Vulnerable Urban Areas," Land, MDPI, vol. 10(3), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maurizio Zanardi, 2004. "Antidumping law as a collusive device," Canadian Journal of Economics, Canadian Economics Association, vol. 37(1), pages 95-122, February.
    2. Zheng LU & Xiang DENG, 2017. "Regional Specialization: New Methods Of Measurement And The Trends In China 1987-2007," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 17(2), pages 119-134.
    3. Peng Wang & Xiaoyan Lin & Dajun Dai, 2017. "Spatiotemporal Agglomeration of Real-Estate Industry in Guangzhou, China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    4. Gao, Ting, 2004. "Regional industrial growth: evidence from Chinese industries," Regional Science and Urban Economics, Elsevier, vol. 34(1), pages 101-124, January.
    5. Agarwalla, Astha, 2011. "Agglomeration Economies and Productivity Growth in India," IIMA Working Papers WP2011-01-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    6. Wang, Xu & Zhang, Xiaobo & Xie, Zhuan & Huang, Yiping, 2016. "Roads to innovation: Firm-level evidence from China:," IFPRI discussion papers 1542, International Food Policy Research Institute (IFPRI).
    7. Adriano Borges Costa & Ciro Biderman, 2016. "A Dinâmica Da Concentração Do Emprego Industrial No Brasil (1991-2011) E O Ciclo De Vida Das Empresas," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 180, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    8. Mohamed Amara & Khaled Thabet, 2019. "Firm and regional factors of productivity: a multilevel analysis of Tunisian manufacturing," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 25-51, August.
    9. Remme, Roy P. & Meacham, Megan & Pellowe, Kara E. & Andersson, Erik & Guerry, Anne D. & Janke, Benjamin & Liu, Lingling & Lonsdorf, Eric & Li, Meng & Mao, Yuanyuan & Nootenboom, Christopher & Wu, Tong, 2024. "Aligning nature-based solutions with ecosystem services in the urban century," Ecosystem Services, Elsevier, vol. 66(C).
    10. Bahar, Dany & Rosenow, Samuel & Stein, Ernesto & Wagner, Rodrigo, 2019. "Export take-offs and acceleration: Unpacking cross-sector linkages in the evolution of comparative advantage," World Development, Elsevier, vol. 117(C), pages 48-60.
    11. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    12. Lafourcade, Miren & Mion, Giordano, 2007. "Concentration, agglomeration and the size of plants," Regional Science and Urban Economics, Elsevier, vol. 37(1), pages 46-68, January.
    13. Martin Henning & Hans Westlund & Kerstin Enflo, 2023. "Urban–rural population changes and spatial inequalities in Sweden," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(4), pages 878-892, May.
    14. Koech Cheruiyot, 2022. "Detecting spatial economic clusters using kernel density and global and local Moran's I analysis in Ekurhuleni metropolitan municipality, South Africa," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(2), pages 307-327, April.
    15. Subhra Saha & Joseph Staudt & Bruce Weinbergx, 2017. "Estimating the Local Productivity Spillovers from Science," Working Papers 17-56, Center for Economic Studies, U.S. Census Bureau.
    16. Giuseppe Espa & Giuseppe Arbia & Diego Giuliani, 2013. "Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan," Journal of Geographical Systems, Springer, vol. 15(1), pages 31-50, January.
    17. Dauth, Wolfgang & Fuchs, Michaela & Otto, Anne, 2015. "Standortmuster in Westdeutschland: Nur wenige Branchen sind räumlich stark konzentriert," IAB-Kurzbericht 201516, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Hyuk-Soo Kwon & Jihong Lee & Sokbae Lee & Ryungha Oh, 2022. "Knowledge spillovers and patent citations: trends in geographic localization, 1976–2015," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(3), pages 123-147, April.
    19. Stephen J. Redding, 2010. "The Empirics Of New Economic Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 297-311, February.
    20. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1227-:d:879402. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.